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podman-desktop-extension-ai-lab

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containers/podman-desktop-extension-ai-lab

Work with LLMs on a local environment using containers

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292 stars81 forksLast push today TypeScript Apache-2.0

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Install

npm install podman-desktop-extension-ai-lab

npm

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Overview

Work with LLMs on a local environment using containers

Capability facts

MCP server: No MCP server detected
Source: repo_scan · Jul 15, 2026
Languages: typescript, javascript
Source: github.language+package.json · Jul 15, 2026

README

Hardware

LLMs AI models are heavy resource consumers both in terms of memory and CPU. Each of the provided models consumes about 4GiB of memory and requires at least 4 CPUs to run.

We recommend a minimum of 12GB of memory and at least 4 CPUs for the Podman machine. On Windows, the podman machine shares memory and CPU with all the Windows Subsystem for Linux (WSL) machines. By default, WSL is set to 50% of total memory and all logical processors. This can be changed in the WSL Settings (See WSL Config).

As an additional recommended practice, do not run more than 3 models simultaneously.

Installation

You can install the Podman AI Lab extension directly inside Podman Desktop.

Go to Extensions > Catalog > Install Podman AI Lab.

To install a development version, use the Install custom... action as shown in the recording below.

The name of the image to use is ghcr.io/containers/podman-desktop-extension-ai-lab. You can get released tags for the image at https://github.com/containers/podman-desktop-extension-ai-lab/pkgs/container/podman-desktop-extension-ai-lab.

For agents

This page has a .md twin and JSON over the API.

/tools/containers-podman-desktop-extension-ai-lab.md GET /api/graphcanon/tools/containers-podman-desktop-extension-ai-lab GET /api/graphcanon/graph?tool=containers-podman-desktop-extension-ai-lab